Triple
T38453873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pio Valenzuela |
E912251
|
entity |
| Predicate | medicalLicense |
P89206
|
FINISHED |
| Object | licensed physician in the Philippines |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: licensed physician in the Philippines | Statement: [Pio Valenzuela, medicalLicense, licensed physician in the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalLicense Context triple: [Pio Valenzuela, medicalLicense, licensed physician in the Philippines]
-
A.
medicalQualificationFrom
Indicates that a person or medical professional obtained their medical qualification or degree from a specified institution or source.
-
B.
medicalDegree
Indicates that an individual has obtained a formal medical qualification or degree from an accredited institution.
-
C.
licensedToPractice
chosen
Indicates that an entity has been officially authorized by a relevant authority to perform a particular professional practice or activity.
-
D.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
E.
medicalSystemPracticed
Indicates that a particular medical system or tradition is practiced, applied, or followed by an entity (such as a person, organization, or region).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.